MusicBrainz
MusicBrainz Picard
Last.fm
ListenBrainz
Discogs
beets
Rate Your Music
BroBitz
Handler
fastlane
Handler is a vibe marketing agent for app marketers. It helps app teams find outlier TikToks, understand what makes them work, and turn proven patterns into clearer creative direction. Todayโs launch focuses on Handler and TikSpy: research winners faster, reduce manual scrolling, and know what to test next.
MusicBrainz HandlerMusic enthusiasts, developers looking for a music metadata database, digital archivists, and anyone interested in comprehensive and up-to-date music information.
No Handler videos yet. You could help us improve this page by suggesting one.
Handler's answer:
Handler is built specifically for app marketers who want to find what is already working on TikTok. Instead of guessing content ideas, Handler helps teams discover outlier TikToks, understand winning patterns, and decide what to test next.
Handler's answer:
Handler is focused on TikTok research for app growth, not generic social media management. It helps marketers move faster from โwhat should we post?โ to clear creative direction based on real winning TikToks.
Handler's answer:
Handler is made for app founders, growth marketers, mobile app teams, indie app builders, and agencies that use TikTok to grow consumer apps.
Handler's answer:
Handler was created because app teams spend too much time manually scrolling TikTok trying to understand what content works. We built it to make TikTok research faster, clearer, and more repeatable for app marketers.
Handler's answer:
Handler uses AI analysis, TikTok content research, video metadata extraction, creative pattern detection, and a web-based dashboard to help app marketers find and understand winning TikToks.
Handler's answer:
Handler is currently early, so we are not publishing customer names yet. The product is built for app founders, consumer app teams, growth marketers, and agencies working on TikTok-based app growth.
Based on our record, MusicBrainz seems to be more popular. It has been mentiond 100 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Optionally, with --country and --genre, it queries MusicBrainz to look up each artist's Country of origin and genre, then generates two more charts:. - Source: dev.to / 3 months ago
I've tried self-hosting with navidrome [0] / plex / jellyfin but the thing I miss most is music discovery via radios / discover weekly. I've tried replicating it a few times with embedding vectors + vector search but at best it finds songs in the (sub)-genre with the tempo / mood being pretty different. Maybe I just need better data, been meaning to try again when that spotify crawl by annas-archive gets released.... - Source: Hacker News / 6 months ago
A few people commenting that some of their collection "doesn't exist in any DB", the best way to fix it is to add it to Musicbrainz[0] yourself! I have found that adding things to Musicbrainz is actually pretty easy (and if you are so inclined like me, pretty rewarding and fun). Streaming releases (and Bandcamp) you simply drop the release URL into Harmony[0] and it does most of the work for you. Musicbrainz can... - Source: Hacker News / 8 months ago
I'm not sure if it is a problem of the information of MusicBrainz or the interaction with whipper program, but most of the times there is not information about the genres in the flac files I'm obtaining. - Source: dev.to / over 1 year ago
It is really cool and useful. Interesting that you were able to gather enough data from users to make it work. I guess it was much less useful in the beginning? I thought of making something similar with data from https://musicbrainz.org/. - Source: Hacker News / over 2 years ago
MusicBrainz Picard - Official website for MusicBrainz Picard, a cross-platform music tagger written in Python.โDownloads ยทย โMusicBrainz Blog ยทย โPicard 2.
fastlane - Connect all iOS deployment tools into one streamlined workflow
Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm
ListenBrainz - Open source music website that allows users to import their listen history.
Discogs - Discover music on Discogs, the largest online music database. Buy and sell music with collectors in the Marketplace.
beets - Beets is the media library management system for obsessive-compulsive music geeks.
